| 书目名称 | Modern Statistics | | 副标题 | A Computer-Based App | | 编辑 | Ron S. Kenett,Shelemyahu Zacks,Peter Gedeck | | 视频video | | | 概述 | Demonstrates how to incorporate Python into the modern statistics curriculum.Includes over 40 case studies to facilitate experiential learning.An accompanying Python package is available for download, | | 丛书名称 | Statistics for Industry, Technology, and Engineering | | 图书封面 |  | | 描述 | This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others..The first chapters of the text focus on analyzing variability, probability models, and distribution functions. Next, the authors introduce statistical inference and bootstrapping, and variability in several dimensions and regression models. The text then goes on to cover sampling for estimation of finite population quantities and time series analysis and prediction, concluding with two chapters on modern data analytic methods. Each chapter includes exercises, data sets, and applications to supplement learning..Modern Statistics: A Computer-Based Approach with Python. is intended for a one- | | 出版日期 | Textbook 2022 | | 关键词 | Modern Statistics; Modern Statistics Python; data analysis; computer intensive statistical methods; boot | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-07566-7 | | isbn_softcover | 978-3-031-07568-1 | | isbn_ebook | 978-3-031-07566-7Series ISSN 2662-5555 Series E-ISSN 2662-5563 | | issn_series | 2662-5555 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:30:10
